Confidence measures based on the k-nn probability estimator
نویسنده
چکیده
In this paper, the use of the probabilities produced by a Knearest neighbours (K-nn) estimator as confidence measure is investigated in an hypothesis verification post-processing scheme. The objective is to classify as correct or incorrect the outputs of a Gaussian mixture model (GMM) /HMM speech recognition system. Four confidence measures based on the Knn probability estimator are introduced. Preliminary experiments are reported and discussed on the TIMIT database.
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تاریخ انتشار 2000